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eesim (version 0.1.0)

Simulate and Evaluate Time Series for Environmental Epidemiology

Description

Provides functions to create simulated time series of environmental exposures (e.g., temperature, air pollution) and health outcomes for use in power analysis and simulation studies in environmental epidemiology. This package also provides functions to evaluate the results of simulation studies based on these simulated time series. This work was supported by a grant from the National Institute of Environmental Health Sciences (R00ES022631) and a fellowship from the Colorado State University Programs for Research and Scholarly Excellence.

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Install

install.packages('eesim')

Monthly Downloads

281

Version

0.1.0

License

GPL (>= 2)

Issues

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Repository

http://github.com/sakoehler7/eesim

Maintainer

Brooke Anderson

Last Published

June 3rd, 2017

Functions in eesim (0.1.0)

Assess model performance

continuous_exposure

Simulate continuous exposure data

Create a continuous exposure trend vector

Create calendar plot

Empirical coverage of confidence intervals

Plot coverage of empirical confidence intervals

Percent Bias of Estimated Coefficient

Standard Deviation of Estimated Coefficients

Create a binary exposure trend vector

binary_exposure

Simulate binary exposure data

custom_exposure

Pull exposure series from data set

Simulate data, fit models, and assess models

Power Calculations

Expected baseline health outcomes

Fit a model to simulated datasets

Format output for custom model to use in eesim

Average Estimated Coefficient

Create simulated data for many repetitions

custom_baseline

Pull smoothed Chicago NMMAPS health outcome data

Fit a generalized linear model

Simulate exposure data using default methods

create_baseline

Create a series of baseline outcomes

Create a series of mean outcome values

Simulate time series of exposure values

Simulate outcome